AIMC Topic: Subarachnoid Hemorrhage

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Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning.

Neurosurgery Jan 13, 2021
BACKGROUND: Current prognostic tools in aneurysmal subarachnoid hemorrhage (aSAH) are constrained by being primarily based on patient and disease characteristics on admission.
Humans Machine Learning Prognosis Female Aged Adult Middle Aged Severity of Illness Index Cohort Studies Models, Theoretical Longitudinal Studies Recovery of Function Switzerland Subarachnoid Hemorrhage
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Predicting Long-Term Outcomes After Poor-Grade Aneurysmal Subarachnoid Hemorrhage Using Decision Tree Modeling.

Neurosurgery Sep 1, 2020
BACKGROUND: Despite advances in the treatment of poor-grade aneurysmal subarachnoid hemorrhage (aSAH), predicting the long-term outcome of aSAH remains challenging, although essential.
Humans Machine Learning Prognosis Clinical Decision-Making Female Aged Adult Male Middle Aged ROC Curve Logistic Models Treatment Outcome Decision Trees Subarachnoid Hemorrhage
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Representation Learning of 3D Brain Angiograms, an Application for Cerebral Vasospasm Prediction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Stroke is the fifth leading cause of death in the United States. Subarachnoid hemorrhage (SAH) is a type of stroke often caused by the spontaneous rupture of a cerebral aneurysm. About 30% of the SAH patients develop delayed cerebral ischemia (DCI) a...
Humans Machine Learning Brain Imaging, Three-Dimensional Subarachnoid Hemorrhage Vasospasm, Intracranial Brain Ischemia Neuroimaging Cerebral Angiography Intracranial Aneurysm
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